Job description
Hello Visionary We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. We are looking for Lead Data Engineer You’ll break new ground by: Design and implement robust, automated data integration pipelines using our core platforms, including SnapLogic and native cloud services like AWS Glue. Develop solutions for event-driven data in motion, working with streaming technologies like Kafka to process and integrate data in real time. Champion and implement a "shift left" approach by embedding data quality checks, testing, and monitoring practices directly into the development lifecycle. Collaborate with cross-functional teams to understand business requirements, translating them into elegant and effective technical solutions for data integration. Monitor, identify, and resolve data issues proactively, contributing to our overall data governance and quality framework. Evaluate and recommend new data technologies and architectural patterns to continuously improve our data infrastructure and integration capabilities. Mentor and guide other engineers, chipping in to the development of data engineering best practices and encouraging a culture of continuous learning across the organization. You’re excited to build on your existing expertise, including: A bachelors' degree in Computer Science, Data Science, or a related technical field. 5 to 10 years of experience as a data engineer, with a strong focus on data integration, ETL/ELT processes, and building data pipelines. Hands-on experience with cloud-based data platforms (AWS, Azure, or GCP), with specific expertise in cloud-native integration services like AWS Glue. Proficiency with enterprise integration platforms, ideally SnapLogic. Strong experience with event-streaming platforms such as Kafka, Confluent Cloud, or similar. Proficiency in data engineering programming languages such as Python and expert-level SQL skills. Familiarity with best practices, including data versioning, automated testing, and CI/CD for data pipelines. Experience with agile software development methodologies. Excellent problem-solving and analytical skills, with a consistent record to translate complex business requirements into technical solutions. Create a better #TomorrowWithUs! This role is based in Pune or Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
This job post has been translated by AI and may contain minor differences or errors.
